Shaped Review

Shaped delivers AI-powered search, recommendations, and personalization to boost user engagement and conversions quickly. It unifies data signals for real-time, scalable, and customizable ranking across platforms.
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Shaped
Shaped Core Capabilities
Real-time retrieval and ranking
Native SQL query interface
Personalized content feeds
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Pricing
From$500.00/mo
BillingPer api call
TrialAvailable
Who is Shaped for?
Startups
Scale-ups
Mid-market
Enterprise
Is Shaped easy to use?
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What is Shaped
Shaped is a real-time relevance engine designed for personalization and search. It fits in the category of search, recommendation, and agent retrieval tools. Shaped stands out by combining native SQL ranking with AI-driven models to deliver results in under 50 milliseconds, boosting conversions by over 20%. It treats user context as a core input to improve relevance and engagement.
The tool shines in personalized content feeds, hybrid search combining keyword and semantic methods, and powering AI agents with contextual memory. Users can connect data and build models fast, going from data connection to production in about seven days. This speed allows teams to experiment and deploy new ranking models in days, not months.
Shaped integrates seamlessly with data sources like Segment, BigQuery, and Snowflake, fitting into your data and marketing tech stack. It supports personalized email and AI assistants but is not meant to replace heavy-duty data warehousing or offline batch processing. It’s ideal for fast, real-time user-facing recommendations and search experiences.
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Ideal Customer Profile
Shaped 2.0 is recommended for product and engineering teams who want to boost engagement and revenue by powering personalized feeds, search, and AI agents with fast, real-time relevance and ranking. It’s ideal for teams looking to connect their data and deploy models in under a week without complex setup.
Startups
Scale-ups
Mid-market
Enterprise
Key Features
Real-time retrieval and ranking
Native SQL query interface
Personalized content feeds
Multi-source hybrid search
Continuous ML model training
SOC 2 and GDPR compliant
Pricing
Starting price$500.00
TrialAvailable
How simple is Shaped setup?
Complexity
Complexity
Shaped requires connecting your data sources using its 30+ native connectors and configuring ranking models with ShapedQL in its SQL interface. You can build and deploy personalized relevance models within a week, enabling real-time search and recommendations with minimal infrastructure.
Frequently Asked Questions
How to use Shaped?
Connect your data, train models, and deploy in 7 days with no infrastructure needed for real-time search, feeds, and agents.
How much is Shaped?
Plans start at $0 with $300 free credits; paid tiers include Standard at $500/month plus usage-based fees for data, models, and queries.
Why choose Shaped?
Shaped delivers <50ms query latency, +20% conversions, real-time relevance, ML-driven ranking, and enterprise-grade security and compliance.
How does Shaped work?
It uses a three-layer architecture: data ingestion, ML model training for embeddings, and real-time query ranking with native SQL.
Is Shaped free?
Yes, starter plan offers $300/month free credits and free community support to get started at no cost.
Is Shaped a partner?
Shaped integrates with partners like Segment, Amplitude, BigQuery, and supports ecosystem collaboration to enhance data workflows.
How to learn Shaped?
Access detailed docs, case studies, blog posts, and try hands-on queries with ShapedQL on the official website.
What are Shaped alternatives?
Alternatives include Elastic Search and other search/ML ranking engines, but Shaped offers native SQL and real-time context.
What are Shaped reviews?
Users report +20% engagement, 2.2X conversion, +79% retention, and faster experimentation with Shaped’s relevance engine.
Does Shaped have an API?
Yes, Shaped provides a native SQL interface (ShapedQL) for optimized, multi-stage ranking and querying.
Does Shaped have a trial or a demo?
Yes, there is a free trial with $300 credits and you can book a demo to see features in action.
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